113 citations · 1.1k across the 69 of their papers we have counts for
15 papers · 1 filter
BinaryBERT: Pushing the Limit of BERT Quantization
Haoli Bai, Wei Zhang, Lu Hou +6
The rapid development of large pre-trained language models has greatly increased the demand for model compression techniques, among which quantization is a popular solution. In thi…
CRaDLe: Deep Code Retrieval Based on Semantic Dependency Learning
Wenchao Gu, Zongjie Li, Cuiyun Gao +4
Code retrieval is a common practice for programmers to reuse existing code snippets in open-source repositories. Given a user query (i.e., a natural language description), code ret…
Effective Data-aware Covariance Estimator from Compressed Data
Xixian Chen, Haiqin Yang, Shenglin Zhao +2
Estimating covariance matrix from massive high-dimensional and distributed data is significant for various real-world applications. In this paper, we propose a data-aware weighted…
Making Online Sketching Hashing Even Faster
Xixian Chen, Haiqin Yang, Shenglin Zhao +2
Data-dependent hashing methods have demonstrated good performance in various machine learning applications to learn a low-dimensional representation from the original data. However…
Learning 3D Face Reconstruction with a Pose Guidance Network
Pengpeng Liu, Xintong Han, Michael Lyu +2
We present a self-supervised learning approach to learning monocular 3D face reconstruction with a pose guidance network (PGN). First, we unveil the bottleneck of pose estimation i…
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation
Wenxiang Jiao, Xing Wang, Shilin He +3
Large-scale training datasets lie at the core of the recent success of neural machine translation (NMT) models. However, the complex patterns and potential noises in the large-scal…